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Seonghan Jin

Biographic Data

ID6306915
NAMESeonghan Jin
GIVEN NAMESSeonghan
FAMILY NAMEJin
SIGNATUREJIN S
AFFILIATIONSKorea Military Academy, 574 Hwrang-ro, Nowon-gu, Seoul, 01805, Republic of Korea
ORCID0000-0001-9629-1719
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS4
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Ending the cycle of anxiety in language learning

    Open Access•Hansol Lee, Seonghan Jin et al.•ARTICLE•System•2023•References: 7

  • Willingness to Communicate and its High-Evidence Factors

    Open Access•Seonghan Jin, Hansol Lee•ARTICLE•Journal of Language and Social…•2022•Cited by: 4•References: 76

    This study aimed to synthesize the structural relationships among willingness to communicate (WTC) and its high-evidence factors in second language (L2) learning contexts by adopting meta-analytic structural equation modeling (MASEM). The MASEM approach is designed to construct a structural equation model (SEM) to explain correlations between variables by pooling correlation coefficients reported in previous literature. This study integrated 44 i…

  • Willingness to Communicate and its High-Evidence Factors

    Open Access•Seonghan Jin, Hansol Lee•ARTICLE•Journal of Language and Social…•2022•Cited by: 4•References: 76

    This study aimed to synthesize the structural relationships among willingness to communicate (WTC) and its high-evidence factors in second language (L2) learning contexts by adopting meta-analytic structural equation modeling (MASEM). The MASEM approach is designed to construct a structural equation model (SEM) to explain correlations between variables by pooling correlation coefficients reported in previous literature. This study integrated 44 i…

  • Willingness to Communicate and its High-Evidence Factors

    Open Access•Seonghan Jin, Hansol Lee•ARTICLE•Journal of Language and Social…•2022•Cited by: 4•References: 76

    This study aimed to synthesize the structural relationships among willingness to communicate (WTC) and its high-evidence factors in second language (L2) learning contexts by adopting meta-analytic structural equation modeling (MASEM). The MASEM approach is designed to construct a structural equation model (SEM) to explain correlations between variables by pooling correlation coefficients reported in previous literature. This study integrated 44 i…

  • Ending the cycle of anxiety in language learning

    Open Access•Hansol Lee, Seonghan Jin et al.•ARTICLE•System•2023•References: 7

Competence (human resources (2 works) · Computer Science (2 works) · EFL/ESL Teaching and Learning (2 works) · Psychology (2 works) · Social Psychology (2 works) · Social Psychology (2 works) · Structural equation modeling (2 works) · Anxiety (1 work) · Artificial Intelligence (1 work) · Cognitive psychology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae